Haptic Human-Human Interaction Through a Compliant Connection Does Not Improve Motor Learning in a Force Field
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-93445-7_29
Reference18 articles.
1. Aglioti, S.M., Cesari, P., Romani, M., Urgesi, C.: Action anticipation and motor resonance in elite basketball players. Nat. Neurosci. 11(9), 1109–1116 (2008)
2. Avila Mireles, E.J., Zenzeri, J., Squeri, V., Morasso, P., De Santis, D.: Skill learning and skill transfer mediated by cooperative haptic interaction. IEEE Trans. Neural Syst. Rehabil. Eng. 25(7), 832–843 (2017)
3. Baur, K., Wolf, P., Riener, R., Duarte, J.E.: Making neurorehabilitation fun: multiplayer training via damping forces balancing differences in skill levels. In: 2017 International Conference on Rehabilitation Robotics (ICORR), pp. 876–881. IEEE (2017)
4. Beerens, G.C., Damveld, H.J., Mulder, M., van Paassen, M.M., Van Der Vaart, J.C.: Investigation into crossover regression in compensatory manual tracking tasks. J. Guid. Control Dyn. 32(5), 1429–1445 (2009)
5. Conditt, M.A., Gandolfo, F.: The motor system does not learn the dynamics of the arm by rote memorization of past experience. J. Neurophysiol. 78(1), 554–560 (1997)
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